A hybrid genetic algorithm for scientific workflow scheduling in cloud environment

Hatem Aziza; Saoussen Krichen

doi:10.1007/s00521-020-04878-8

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A hybrid genetic algorithm for scientific workflow scheduling in cloud environment

Hatem Aziza Saoussen Krichen

Year: 2020 Journal: Neural Computing and Applications Vol: 32 (18)Pages: 15263-15278 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-020-04878-8

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Keywords:

Workflow Computer science Cloud computing Distributed computing Scheduling (production processes) CloudSim Workflow management system Job shop scheduling Interdependence Mathematical optimization Schedule Database Operating system

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Topics

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Scientific Computing and Data Management

Social Sciences → Decision Sciences → Information Systems and Management

A hybrid genetic algorithm for scientific workflow scheduling in cloud environment

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A hybrid algorithm for workflow scheduling in cloud environment